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contributor authorMacchiato, M.
contributor authorSerio, C.
contributor authorLapenna, V.
contributor authorLa Rotonda, L.
date accessioned2017-06-09T14:04:30Z
date available2017-06-09T14:04:30Z
date copyright1993/07/01
date issued1993
identifier issn0894-8763
identifier otherams-11942.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4147226
description abstractThe statistical analysis of cold air temperatures (cold spells) and hot air temperatures (hot spells) is discussed. Air temperature time series observed at 50 stations in southern Italy am investigated. The deterministic and stochastic components of the time series are identified and described by a dynamic?stochastic model that is periodic in the deterministic part (the annual cycle) and Markovian (first-order autoregressive) in the stochastic part. The annual cycle is described by only a few Fourier coefficients. Based on the model fitted to the data, the theoretical probability of cold (hot) spells is computed and compared to that estimated from the observed data. Spatial patterns are identified that make it possible to extrapolate the probability of cold (hot) spells at locations where no direct observations are available.
publisherAmerican Meteorological Society
titleParametric Time Series Analysis of Cold and Hot Spells in Daily Temperature: An Application in Southern Italy
typeJournal Paper
journal volume32
journal issue7
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(1993)032<1270:PTSAOC>2.0.CO;2
journal fristpage1270
journal lastpage1281
treeJournal of Applied Meteorology:;1993:;volume( 032 ):;issue: 007
contenttypeFulltext


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